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The Royal Statistical Society is holding its latest Journal Club webinar this Thursday, 20th November at 10am, UK time. The event is sponsored by Quintiles, is free and is open to members and non-members alike. The theme is 'Social Statistics' and the event has been designed to tie in with the special edition of the journal that was published in February. Two thought-provoking and complementary papers will be presented by their authors: Paper: 'The item count method for sensitive survey questions: Modelling criminal behaviour' Presenters: Jouni Kuha and Jonathan Jackson, London School of Economics and Political Science Published in the Journal of the Royal Statistical Society: Series C (Applied Statistics), Vol 63 (2), 321-341, February 2014 Paper: 'Which method predicts recidivism best? A comparison of statistical, machine learning and data mining prediction models' Presenters: Nikolaj Tollenaar, Ministry of Security and Justice, the Netherlands and Peter van der Heijden, Utrecht University Published in the Journal of the Royal Statistical Society: Series A (Statistics in Society), Vol 176 (2), 565-584, February 2013. Chair: Chris Skinner, London School of Economics and Political Science Dial in and join us on the 20th November to hear the authors present their papers. These are free to access until early December. You will also have the opportunity to contribute to the discussion and ask questions of the authors over the phone or by email. More details about this Journal Club event and when and how to access the papers can be found in StatsLife.<http://www.statslife.org.uk/events/eventdetail/318/-/journal-club-webinar> Visit the RSS website<https://www.rss.org.uk/site/cms/contentviewarticle.asp?article=1311> for the simple dial-in guidelines and a list of local rate numbers for anyone outside the UK. Those unable to listen in live will be able to listen to the podcast and view slides from the presentation afterwards on the main RSS website. The recording will also be posted on Youtube. You can email questions in advance of the session or request further information from [log in to unmask]<mailto:[log in to unmask]>. Judith Shorten Journals Administrator The Royal Statistical Society 12 Errol Street, London EC1Y 8LX Direct dial: (44) 020 7614 3923 www.rss.org.uk<http://www.rss.org.uk/> The RSS is a registered charity No. 306096 ______________________________________________________________________ This email has been scanned by the Symantec Email Security.cloud service. For more information please visit http://www.symanteccloud.com ______________________________________________________________________ You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.